Abstract:The goal of multi-exposure image fusion is to generate synthetic results with abundant details and balanced exposure from low dynamic range(LDR) images. The existing multiexposure fusion methods often use convolution operations to extract features. However, these methods only consider the pixel values in local view field and ignore the long-range dependencies between pixels. To solve the aforementioned problem, we propose a global-local aggregation network for fusing extreme exposure images in an unsupervised … Show more
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